warpAffine( img_inst, rot_matrix, dsize = img_inst. getRotationMatrix2D( center, angle, scale = 1.0) ![]() randint( min_angle, max_angle)Ĭenter = ( img. warpAffine( img_inst, trans_matrix, ( org_width, org_height), borderMode = border_const)ĭef random_rotate_img( img, chance, min_angle, max_angle):Īngle = random. ![]() resize( img_inst, ( scaled_width, scaled_height), interpolation = cv2. Scaled_height = int( org_height * scale_y) filters import gaussian_filterĭef random_scale_img( img, xy_range, lock_xy = False): ![]() interpolation import map_coordinatesįrom scipy. callbacks import ModelCheckpoint, Callbackįrom scipy. layers import Input, Convolution2D, MaxPooling2D, UpSampling2D, merge, BatchNormalization, SpatialDropout2Dįrom keras.
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